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Language modelActive

Qwen 3 Coder Next

Alibaba

Released
February 4, 2026
Data date
September 8, 2026
Speed
115.8 tokens/s
Output throughput
Price
Input · Output / 1M tokens
Input
Text
Output
Text

Qwen 3 Coder Next uses an unusual sparse parameter split for coding agents. It has 80 billion total parameters but activates only 3 billion per token. The technical report describes training with verifiable coding tasks, executable environments, and feedback from those environments.

The open model combines Gated DeltaNet, Gated Attention, and a sparse mixture of experts. Its non-thinking configuration handles 262,144 context tokens. Qwen 3 Coder 480B A35B is the much larger sibling checkpoint.

Specifications and access

SpecificationValue and source
Weights
Open weightsSource
Access
API, LocalSource
Parameters
Active parameters
Context window
262,144 tokensSource
Weights repository
Qwen/Qwen3-Coder-NextSource
License
Apache-2.0Source
Architecture
hybrid Gated DeltaNet + Gated Attention sparse MoE causal language modelSource
Input
TextSource
Output
TextSource
Reasoning mode
non-thinking onlySource
Tool calling
Structured output
Native context window
262,144 tokensSource
Maximum context window
262,144 tokensSource
Parameters
80 BSource
Active parameters
Repository created
2026-01-30 (Repository creation date is a precise publication proxy, but may differ from the public announcement date or an individual checkpoint's first availability.)Source